Dataset statistics
| Number of variables | 22 |
|---|---|
| Number of observations | 7823 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 10 |
| Duplicate rows (%) | 0.1% |
| Total size in memory | 1.6 MiB |
| Average record size in memory | 217.8 B |
Variable types
| Numeric | 9 |
|---|---|
| Categorical | 12 |
| Boolean | 1 |
| Dataset has 10 (0.1%) duplicate rows | Duplicates |
pdays is highly overall correlated with pmonths and 2 other fields | High correlation |
emp.var.rate is highly overall correlated with cons.price.idx and 3 other fields | High correlation |
cons.price.idx is highly overall correlated with emp.var.rate and 3 other fields | High correlation |
cons.conf.idx is highly overall correlated with month | High correlation |
euribor3m is highly overall correlated with emp.var.rate and 3 other fields | High correlation |
nr.employed is highly overall correlated with emp.var.rate and 3 other fields | High correlation |
pmonths is highly overall correlated with pdays and 2 other fields | High correlation |
housing is highly overall correlated with loan | High correlation |
loan is highly overall correlated with housing | High correlation |
contact is highly overall correlated with cons.price.idx and 2 other fields | High correlation |
month is highly overall correlated with emp.var.rate and 5 other fields | High correlation |
previous is highly overall correlated with pdays and 2 other fields | High correlation |
poutcome is highly overall correlated with pdays and 3 other fields | High correlation |
pastEmail is highly overall correlated with poutcome | High correlation |
default is highly imbalanced (54.4%) | Imbalance |
loan is highly imbalanced (51.3%) | Imbalance |
previous is highly imbalanced (72.6%) | Imbalance |
poutcome is highly imbalanced (59.1%) | Imbalance |
pastEmail is highly imbalanced (69.6%) | Imbalance |
responded is highly imbalanced (51.0%) | Imbalance |
Reproduction
| Analysis started | 2024-01-09 16:38:56.971307 |
|---|---|
| Analysis finished | 2024-01-09 16:39:13.882789 |
| Duration | 16.91 seconds |
| Software version | pandas-profiling v3.6.6 |
| Download configuration | config.json |
custAge
Real number (ℝ)
| Distinct | 54 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 39.518727 |
| Minimum | 18 |
|---|---|
| Maximum | 71 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 380.3 KiB |
Quantile statistics
| Minimum | 18 |
|---|---|
| 5-th percentile | 26 |
| Q1 | 32 |
| median | 38 |
| Q3 | 46 |
| 95-th percentile | 57 |
| Maximum | 71 |
| Range | 53 |
| Interquartile range (IQR) | 14 |
Descriptive statistics
| Standard deviation | 9.7162571 |
|---|---|
| Coefficient of variation (CV) | 0.24586463 |
| Kurtosis | -0.41152054 |
| Mean | 39.518727 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 0.50877095 |
| Sum | 309155 |
| Variance | 94.405652 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 31 | 399 | 5.1% |
| 33 | 374 | 4.8% |
| 32 | 369 | 4.7% |
| 30 | 351 | 4.5% |
| 35 | 331 | 4.2% |
| 34 | 321 | 4.1% |
| 36 | 319 | 4.1% |
| 37 | 295 | 3.8% |
| 29 | 279 | 3.6% |
| 38 | 277 | 3.5% |
| Other values (44) | 4508 |
| Value | Count | Frequency (%) |
| 18 | 5 | 0.1% |
| 19 | 5 | 0.1% |
| 20 | 12 | 0.2% |
| 21 | 17 | 0.2% |
| 22 | 33 | 0.4% |
| 23 | 34 | 0.4% |
| 24 | 93 | |
| 25 | 110 | |
| 26 | 132 | |
| 27 | 154 |
| Value | Count | Frequency (%) |
| 71 | 15 | |
| 70 | 14 | |
| 69 | 4 | 0.1% |
| 68 | 4 | 0.1% |
| 67 | 4 | 0.1% |
| 66 | 7 | |
| 65 | 10 | |
| 64 | 13 | |
| 63 | 4 | 0.1% |
| 62 | 14 |
profession
Categorical
| Distinct | 12 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 380.3 KiB |
| admin. | |
|---|---|
| blue-collar | |
| technician | |
| services | |
| management | |
| Other values (7) |
Length
| Max length | 13 |
|---|---|
| Median length | 12 |
| Mean length | 8.9939921 |
| Min length | 6 |
Characters and Unicode
| Total characters | 70360 |
|---|---|
| Distinct characters | 24 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | admin. |
|---|---|
| 2nd row | admin. |
| 3rd row | admin. |
| 4th row | blue-collar |
| 5th row | entrepreneur |
Common Values
| Value | Count | Frequency (%) |
| admin. | 1991 | |
| blue-collar | 1788 | |
| technician | 1292 | |
| services | 761 | 9.7% |
| management | 561 | 7.2% |
| entrepreneur | 310 | 4.0% |
| self-employed | 271 | 3.5% |
| retired | 255 | 3.3% |
| housemaid | 198 | 2.5% |
| unemployed | 182 | 2.3% |
| Other values (2) | 214 | 2.7% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| admin | 1991 | |
| blue-collar | 1788 | |
| technician | 1292 | |
| services | 761 | 9.7% |
| management | 561 | 7.2% |
| entrepreneur | 310 | 4.0% |
| self-employed | 271 | 3.5% |
| retired | 255 | 3.3% |
| housemaid | 198 | 2.5% |
| unemployed | 182 | 2.3% |
| Other values (2) | 214 | 2.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 9000 | |
| n | 6839 | 9.7% |
| a | 6391 | 9.1% |
| l | 6088 | 8.7% |
| i | 5789 | 8.2% |
| c | 5133 | 7.3% |
| r | 3989 | 5.7% |
| m | 3764 | 5.3% |
| d | 3048 | 4.3% |
| t | 2720 | 3.9% |
| Other values (14) | 17599 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 66310 | |
| Dash Punctuation | 2059 | 2.9% |
| Other Punctuation | 1991 | 2.8% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 9000 | |
| n | 6839 | |
| a | 6391 | |
| l | 6088 | |
| i | 5789 | |
| c | 5133 | 7.7% |
| r | 3989 | 6.0% |
| m | 3764 | 5.7% |
| d | 3048 | 4.6% |
| t | 2720 | 4.1% |
| Other values (12) | 13549 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 2059 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 1991 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 66310 | |
| Common | 4050 | 5.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 9000 | |
| n | 6839 | |
| a | 6391 | |
| l | 6088 | |
| i | 5789 | |
| c | 5133 | 7.7% |
| r | 3989 | 6.0% |
| m | 3764 | 5.7% |
| d | 3048 | 4.6% |
| t | 2720 | 4.1% |
| Other values (12) | 13549 |
Common
| Value | Count | Frequency (%) |
| - | 2059 | |
| . | 1991 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 70360 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 9000 | |
| n | 6839 | 9.7% |
| a | 6391 | 9.1% |
| l | 6088 | 8.7% |
| i | 5789 | 8.2% |
| c | 5133 | 7.3% |
| r | 3989 | 5.7% |
| m | 3764 | 5.3% |
| d | 3048 | 4.3% |
| t | 2720 | 3.9% |
| Other values (14) | 17599 |
marital
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 380.3 KiB |
| married | |
|---|---|
| single | |
| divorced | |
| unknown | 10 |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 6.8278154 |
| Min length | 6 |
Characters and Unicode
| Total characters | 53414 |
|---|---|
| Distinct characters | 16 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | single |
|---|---|
| 2nd row | single |
| 3rd row | divorced |
| 4th row | single |
| 5th row | married |
Common Values
| Value | Count | Frequency (%) |
| married | 4692 | |
| single | 2234 | |
| divorced | 887 | 11.3% |
| unknown | 10 | 0.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| married | 4692 | |
| single | 2234 | |
| divorced | 887 | 11.3% |
| unknown | 10 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 10271 | |
| i | 7813 | |
| e | 7813 | |
| d | 6466 | |
| m | 4692 | |
| a | 4692 | |
| n | 2264 | 4.2% |
| s | 2234 | 4.2% |
| g | 2234 | 4.2% |
| l | 2234 | 4.2% |
| Other values (6) | 2701 | 5.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 53414 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 10271 | |
| i | 7813 | |
| e | 7813 | |
| d | 6466 | |
| m | 4692 | |
| a | 4692 | |
| n | 2264 | 4.2% |
| s | 2234 | 4.2% |
| g | 2234 | 4.2% |
| l | 2234 | 4.2% |
| Other values (6) | 2701 | 5.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 53414 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 10271 | |
| i | 7813 | |
| e | 7813 | |
| d | 6466 | |
| m | 4692 | |
| a | 4692 | |
| n | 2264 | 4.2% |
| s | 2234 | 4.2% |
| g | 2234 | 4.2% |
| l | 2234 | 4.2% |
| Other values (6) | 2701 | 5.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 53414 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 10271 | |
| i | 7813 | |
| e | 7813 | |
| d | 6466 | |
| m | 4692 | |
| a | 4692 | |
| n | 2264 | 4.2% |
| s | 2234 | 4.2% |
| g | 2234 | 4.2% |
| l | 2234 | 4.2% |
| Other values (6) | 2701 | 5.1% |
schooling
Categorical
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 380.3 KiB |
| university.degree | |
|---|---|
| high.school | |
| basic.9y | |
| professional.course | |
| basic.4y | |
| Other values (3) |
Length
| Max length | 19 |
|---|---|
| Median length | 17 |
| Mean length | 12.66036 |
| Min length | 7 |
Characters and Unicode
| Total characters | 99042 |
|---|---|
| Distinct characters | 25 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | university.degree |
|---|---|
| 2nd row | high.school |
| 3rd row | university.degree |
| 4th row | university.degree |
| 5th row | university.degree |
Common Values
| Value | Count | Frequency (%) |
| university.degree | 2294 | |
| high.school | 1781 | |
| basic.9y | 1200 | |
| professional.course | 985 | |
| basic.4y | 782 | 10.0% |
| basic.6y | 412 | 5.3% |
| unknown | 368 | 4.7% |
| illiterate | 1 | < 0.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| university.degree | 2294 | |
| high.school | 1781 | |
| basic.9y | 1200 | |
| professional.course | 985 | |
| basic.4y | 782 | 10.0% |
| basic.6y | 412 | 5.3% |
| unknown | 368 | 4.7% |
| illiterate | 1 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 11148 | 11.3% |
| i | 9750 | 9.8% |
| s | 9424 | 9.5% |
| . | 7454 | 7.5% |
| o | 6885 | 7.0% |
| r | 6559 | 6.6% |
| h | 5343 | 5.4% |
| c | 5160 | 5.2% |
| y | 4688 | 4.7% |
| n | 4383 | 4.4% |
| Other values (15) | 28248 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 89194 | |
| Other Punctuation | 7454 | 7.5% |
| Decimal Number | 2394 | 2.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 11148 | |
| i | 9750 | |
| s | 9424 | |
| o | 6885 | 7.7% |
| r | 6559 | 7.4% |
| h | 5343 | 6.0% |
| c | 5160 | 5.8% |
| y | 4688 | 5.3% |
| n | 4383 | 4.9% |
| g | 4075 | 4.6% |
| Other values (11) | 21779 |
Decimal Number
| Value | Count | Frequency (%) |
| 9 | 1200 | |
| 4 | 782 | |
| 6 | 412 | 17.2% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 7454 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 89194 | |
| Common | 9848 | 9.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 11148 | |
| i | 9750 | |
| s | 9424 | |
| o | 6885 | 7.7% |
| r | 6559 | 7.4% |
| h | 5343 | 6.0% |
| c | 5160 | 5.8% |
| y | 4688 | 5.3% |
| n | 4383 | 4.9% |
| g | 4075 | 4.6% |
| Other values (11) | 21779 |
Common
| Value | Count | Frequency (%) |
| . | 7454 | |
| 9 | 1200 | 12.2% |
| 4 | 782 | 7.9% |
| 6 | 412 | 4.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 99042 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 11148 | 11.3% |
| i | 9750 | 9.8% |
| s | 9424 | 9.5% |
| . | 7454 | 7.5% |
| o | 6885 | 7.0% |
| r | 6559 | 6.6% |
| h | 5343 | 5.4% |
| c | 5160 | 5.2% |
| y | 4688 | 4.7% |
| n | 4383 | 4.4% |
| Other values (15) | 28248 |
default
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 380.3 KiB |
| no | |
|---|---|
| unknown | |
| yes | 1 |
Length
| Max length | 7 |
|---|---|
| Median length | 2 |
| Mean length | 2.9984661 |
| Min length | 2 |
Characters and Unicode
| Total characters | 23457 |
|---|---|
| Distinct characters | 8 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | no |
|---|---|
| 2nd row | no |
| 3rd row | unknown |
| 4th row | unknown |
| 5th row | no |
Common Values
| Value | Count | Frequency (%) |
| no | 6260 | |
| unknown | 1562 | 20.0% |
| yes | 1 | < 0.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| no | 6260 | |
| unknown | 1562 | 20.0% |
| yes | 1 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 10946 | |
| o | 7822 | |
| u | 1562 | 6.7% |
| k | 1562 | 6.7% |
| w | 1562 | 6.7% |
| y | 1 | < 0.1% |
| e | 1 | < 0.1% |
| s | 1 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 23457 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 10946 | |
| o | 7822 | |
| u | 1562 | 6.7% |
| k | 1562 | 6.7% |
| w | 1562 | 6.7% |
| y | 1 | < 0.1% |
| e | 1 | < 0.1% |
| s | 1 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 23457 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 10946 | |
| o | 7822 | |
| u | 1562 | 6.7% |
| k | 1562 | 6.7% |
| w | 1562 | 6.7% |
| y | 1 | < 0.1% |
| e | 1 | < 0.1% |
| s | 1 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 23457 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 10946 | |
| o | 7822 | |
| u | 1562 | 6.7% |
| k | 1562 | 6.7% |
| w | 1562 | 6.7% |
| y | 1 | < 0.1% |
| e | 1 | < 0.1% |
| s | 1 | < 0.1% |
housing
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 380.3 KiB |
| yes | |
|---|---|
| no | |
| unknown | 174 |
Length
| Max length | 7 |
|---|---|
| Median length | 3 |
| Mean length | 2.6332609 |
| Min length | 2 |
Characters and Unicode
| Total characters | 20600 |
|---|---|
| Distinct characters | 8 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | no |
|---|---|
| 2nd row | no |
| 3rd row | yes |
| 4th row | yes |
| 5th row | yes |
Common Values
| Value | Count | Frequency (%) |
| yes | 4084 | |
| no | 3565 | |
| unknown | 174 | 2.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| yes | 4084 | |
| no | 3565 | |
| unknown | 174 | 2.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 4087 | |
| y | 4084 | |
| e | 4084 | |
| s | 4084 | |
| o | 3739 | |
| u | 174 | 0.8% |
| k | 174 | 0.8% |
| w | 174 | 0.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 20600 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 4087 | |
| y | 4084 | |
| e | 4084 | |
| s | 4084 | |
| o | 3739 | |
| u | 174 | 0.8% |
| k | 174 | 0.8% |
| w | 174 | 0.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 20600 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 4087 | |
| y | 4084 | |
| e | 4084 | |
| s | 4084 | |
| o | 3739 | |
| u | 174 | 0.8% |
| k | 174 | 0.8% |
| w | 174 | 0.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20600 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 4087 | |
| y | 4084 | |
| e | 4084 | |
| s | 4084 | |
| o | 3739 | |
| u | 174 | 0.8% |
| k | 174 | 0.8% |
| w | 174 | 0.8% |
loan
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 380.3 KiB |
| no | |
|---|---|
| yes | |
| unknown | 174 |
Length
| Max length | 7 |
|---|---|
| Median length | 2 |
| Mean length | 2.2670331 |
| Min length | 2 |
Characters and Unicode
| Total characters | 17735 |
|---|---|
| Distinct characters | 8 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | yes |
|---|---|
| 2nd row | no |
| 3rd row | no |
| 4th row | no |
| 5th row | no |
Common Values
| Value | Count | Frequency (%) |
| no | 6430 | |
| yes | 1219 | 15.6% |
| unknown | 174 | 2.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| no | 6430 | |
| yes | 1219 | 15.6% |
| unknown | 174 | 2.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 6952 | |
| o | 6604 | |
| y | 1219 | 6.9% |
| e | 1219 | 6.9% |
| s | 1219 | 6.9% |
| u | 174 | 1.0% |
| k | 174 | 1.0% |
| w | 174 | 1.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 17735 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 6952 | |
| o | 6604 | |
| y | 1219 | 6.9% |
| e | 1219 | 6.9% |
| s | 1219 | 6.9% |
| u | 174 | 1.0% |
| k | 174 | 1.0% |
| w | 174 | 1.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 17735 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 6952 | |
| o | 6604 | |
| y | 1219 | 6.9% |
| e | 1219 | 6.9% |
| s | 1219 | 6.9% |
| u | 174 | 1.0% |
| k | 174 | 1.0% |
| w | 174 | 1.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 17735 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 6952 | |
| o | 6604 | |
| y | 1219 | 6.9% |
| e | 1219 | 6.9% |
| s | 1219 | 6.9% |
| u | 174 | 1.0% |
| k | 174 | 1.0% |
| w | 174 | 1.0% |
contact
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 380.3 KiB |
| cellular | |
|---|---|
| telephone |
Length
| Max length | 9 |
|---|---|
| Median length | 8 |
| Mean length | 8.3675061 |
| Min length | 8 |
Characters and Unicode
| Total characters | 65459 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | cellular |
|---|---|
| 2nd row | telephone |
| 3rd row | cellular |
| 4th row | cellular |
| 5th row | telephone |
Common Values
| Value | Count | Frequency (%) |
| cellular | 4948 | |
| telephone | 2875 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| cellular | 4948 | |
| telephone | 2875 |
Most occurring characters
| Value | Count | Frequency (%) |
| l | 17719 | |
| e | 13573 | |
| c | 4948 | 7.6% |
| u | 4948 | 7.6% |
| a | 4948 | 7.6% |
| r | 4948 | 7.6% |
| t | 2875 | 4.4% |
| p | 2875 | 4.4% |
| h | 2875 | 4.4% |
| o | 2875 | 4.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 65459 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| l | 17719 | |
| e | 13573 | |
| c | 4948 | 7.6% |
| u | 4948 | 7.6% |
| a | 4948 | 7.6% |
| r | 4948 | 7.6% |
| t | 2875 | 4.4% |
| p | 2875 | 4.4% |
| h | 2875 | 4.4% |
| o | 2875 | 4.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 65459 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| l | 17719 | |
| e | 13573 | |
| c | 4948 | 7.6% |
| u | 4948 | 7.6% |
| a | 4948 | 7.6% |
| r | 4948 | 7.6% |
| t | 2875 | 4.4% |
| p | 2875 | 4.4% |
| h | 2875 | 4.4% |
| o | 2875 | 4.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 65459 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| l | 17719 | |
| e | 13573 | |
| c | 4948 | 7.6% |
| u | 4948 | 7.6% |
| a | 4948 | 7.6% |
| r | 4948 | 7.6% |
| t | 2875 | 4.4% |
| p | 2875 | 4.4% |
| h | 2875 | 4.4% |
| o | 2875 | 4.4% |
month
Categorical
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 380.3 KiB |
| may | |
|---|---|
| jul | |
| aug | |
| jun | |
| nov | |
| Other values (5) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 23469 |
|---|---|
| Distinct characters | 17 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | apr |
|---|---|
| 2nd row | jun |
| 3rd row | jul |
| 4th row | jul |
| 5th row | jun |
Common Values
| Value | Count | Frequency (%) |
| may | 2740 | |
| jul | 1271 | |
| aug | 1167 | |
| jun | 992 | 12.7% |
| nov | 775 | 9.9% |
| apr | 526 | 6.7% |
| oct | 133 | 1.7% |
| sep | 99 | 1.3% |
| mar | 97 | 1.2% |
| dec | 23 | 0.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| may | 2740 | |
| jul | 1271 | |
| aug | 1167 | |
| jun | 992 | 12.7% |
| nov | 775 | 9.9% |
| apr | 526 | 6.7% |
| oct | 133 | 1.7% |
| sep | 99 | 1.3% |
| mar | 97 | 1.2% |
| dec | 23 | 0.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 4530 | |
| u | 3430 | |
| m | 2837 | |
| y | 2740 | |
| j | 2263 | |
| n | 1767 | 7.5% |
| l | 1271 | 5.4% |
| g | 1167 | 5.0% |
| o | 908 | 3.9% |
| v | 775 | 3.3% |
| Other values (7) | 1781 | 7.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 23469 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 4530 | |
| u | 3430 | |
| m | 2837 | |
| y | 2740 | |
| j | 2263 | |
| n | 1767 | 7.5% |
| l | 1271 | 5.4% |
| g | 1167 | 5.0% |
| o | 908 | 3.9% |
| v | 775 | 3.3% |
| Other values (7) | 1781 | 7.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 23469 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 4530 | |
| u | 3430 | |
| m | 2837 | |
| y | 2740 | |
| j | 2263 | |
| n | 1767 | 7.5% |
| l | 1271 | 5.4% |
| g | 1167 | 5.0% |
| o | 908 | 3.9% |
| v | 775 | 3.3% |
| Other values (7) | 1781 | 7.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 23469 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 4530 | |
| u | 3430 | |
| m | 2837 | |
| y | 2740 | |
| j | 2263 | |
| n | 1767 | 7.5% |
| l | 1271 | 5.4% |
| g | 1167 | 5.0% |
| o | 908 | 3.9% |
| v | 775 | 3.3% |
| Other values (7) | 1781 | 7.6% |
day_of_week
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 380.3 KiB |
| mon | |
|---|---|
| thu | |
| wed | |
| tue | |
| fri |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 23469 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | wed |
|---|---|
| 2nd row | thu |
| 3rd row | tue |
| 4th row | tue |
| 5th row | thu |
Common Values
| Value | Count | Frequency (%) |
| mon | 1690 | |
| thu | 1582 | |
| wed | 1561 | |
| tue | 1552 | |
| fri | 1438 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| mon | 1690 | |
| thu | 1582 | |
| wed | 1561 | |
| tue | 1552 | |
| fri | 1438 |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 3134 | |
| u | 3134 | |
| e | 3113 | |
| m | 1690 | |
| o | 1690 | |
| n | 1690 | |
| h | 1582 | |
| w | 1561 | |
| d | 1561 | |
| f | 1438 | |
| Other values (2) | 2876 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 23469 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| t | 3134 | |
| u | 3134 | |
| e | 3113 | |
| m | 1690 | |
| o | 1690 | |
| n | 1690 | |
| h | 1582 | |
| w | 1561 | |
| d | 1561 | |
| f | 1438 | |
| Other values (2) | 2876 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 23469 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| t | 3134 | |
| u | 3134 | |
| e | 3113 | |
| m | 1690 | |
| o | 1690 | |
| n | 1690 | |
| h | 1582 | |
| w | 1561 | |
| d | 1561 | |
| f | 1438 | |
| Other values (2) | 2876 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 23469 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| t | 3134 | |
| u | 3134 | |
| e | 3113 | |
| m | 1690 | |
| o | 1690 | |
| n | 1690 | |
| h | 1582 | |
| w | 1561 | |
| d | 1561 | |
| f | 1438 | |
| Other values (2) | 2876 |
campaign
Real number (ℝ)
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.2676722 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 380.3 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 6 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.7119123 |
|---|---|
| Coefficient of variation (CV) | 0.7549205 |
| Kurtosis | 4.208349 |
| Mean | 2.2676722 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.9550904 |
| Sum | 17740 |
| Variance | 2.9306436 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 3404 | |
| 2 | 2097 | |
| 3 | 1021 | 13.1% |
| 4 | 531 | 6.8% |
| 5 | 282 | 3.6% |
| 6 | 200 | 2.6% |
| 7 | 108 | 1.4% |
| 8 | 71 | 0.9% |
| 9 | 69 | 0.9% |
| 10 | 40 | 0.5% |
| Value | Count | Frequency (%) |
| 1 | 3404 | |
| 2 | 2097 | |
| 3 | 1021 | 13.1% |
| 4 | 531 | 6.8% |
| 5 | 282 | 3.6% |
| 6 | 200 | 2.6% |
| 7 | 108 | 1.4% |
| 8 | 71 | 0.9% |
| 9 | 69 | 0.9% |
| 10 | 40 | 0.5% |
| Value | Count | Frequency (%) |
| 10 | 40 | 0.5% |
| 9 | 69 | 0.9% |
| 8 | 71 | 0.9% |
| 7 | 108 | 1.4% |
| 6 | 200 | 2.6% |
| 5 | 282 | 3.6% |
| 4 | 531 | 6.8% |
| 3 | 1021 | 13.1% |
| 2 | 2097 | |
| 1 | 3404 |
pdays
Real number (ℝ)
| Distinct | 20 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 970.1911 |
| Minimum | 0 |
|---|---|
| Maximum | 999 |
| Zeros | 2 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 380.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 999 |
| Q1 | 999 |
| median | 999 |
| Q3 | 999 |
| 95-th percentile | 999 |
| Maximum | 999 |
| Range | 999 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 166.66225 |
|---|---|
| Coefficient of variation (CV) | 0.17178291 |
| Kurtosis | 29.514124 |
| Mean | 970.1911 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -5.6130244 |
| Sum | 7589805 |
| Variance | 27776.306 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 999 | 7596 | |
| 6 | 62 | 0.8% |
| 3 | 56 | 0.7% |
| 4 | 20 | 0.3% |
| 7 | 12 | 0.2% |
| 9 | 11 | 0.1% |
| 2 | 11 | 0.1% |
| 12 | 10 | 0.1% |
| 5 | 7 | 0.1% |
| 10 | 7 | 0.1% |
| Other values (10) | 31 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 2 | < 0.1% |
| 1 | 4 | 0.1% |
| 2 | 11 | 0.1% |
| 3 | 56 | |
| 4 | 20 | 0.3% |
| 5 | 7 | 0.1% |
| 6 | 62 | |
| 7 | 12 | 0.2% |
| 8 | 3 | < 0.1% |
| 9 | 11 | 0.1% |
| Value | Count | Frequency (%) |
| 999 | 7596 | |
| 22 | 1 | < 0.1% |
| 17 | 2 | < 0.1% |
| 16 | 4 | 0.1% |
| 15 | 5 | 0.1% |
| 14 | 4 | 0.1% |
| 13 | 3 | < 0.1% |
| 12 | 10 | 0.1% |
| 11 | 3 | < 0.1% |
| 10 | 7 | 0.1% |
previous
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 380.3 KiB |
| 0 | |
|---|---|
| 1 | |
| 2 | 100 |
| 3 | 19 |
| 4 | 6 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 7823 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 6818 | |
| 1 | 880 | 11.2% |
| 2 | 100 | 1.3% |
| 3 | 19 | 0.2% |
| 4 | 6 | 0.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 6818 | |
| 1 | 880 | 11.2% |
| 2 | 100 | 1.3% |
| 3 | 19 | 0.2% |
| 4 | 6 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 6818 | |
| 1 | 880 | 11.2% |
| 2 | 100 | 1.3% |
| 3 | 19 | 0.2% |
| 4 | 6 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 7823 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 6818 | |
| 1 | 880 | 11.2% |
| 2 | 100 | 1.3% |
| 3 | 19 | 0.2% |
| 4 | 6 | 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 7823 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 6818 | |
| 1 | 880 | 11.2% |
| 2 | 100 | 1.3% |
| 3 | 19 | 0.2% |
| 4 | 6 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 7823 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 6818 | |
| 1 | 880 | 11.2% |
| 2 | 100 | 1.3% |
| 3 | 19 | 0.2% |
| 4 | 6 | 0.1% |
poutcome
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 380.3 KiB |
| nonexistent | |
|---|---|
| failure | |
| success | 213 |
Length
| Max length | 11 |
|---|---|
| Median length | 11 |
| Mean length | 10.486131 |
| Min length | 7 |
Characters and Unicode
| Total characters | 82033 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | nonexistent |
|---|---|
| 2nd row | nonexistent |
| 3rd row | nonexistent |
| 4th row | nonexistent |
| 5th row | nonexistent |
Common Values
| Value | Count | Frequency (%) |
| nonexistent | 6818 | |
| failure | 792 | 10.1% |
| success | 213 | 2.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| nonexistent | 6818 | |
| failure | 792 | 10.1% |
| success | 213 | 2.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 20454 | |
| e | 14641 | |
| t | 13636 | |
| i | 7610 | 9.3% |
| s | 7457 | 9.1% |
| o | 6818 | 8.3% |
| x | 6818 | 8.3% |
| u | 1005 | 1.2% |
| f | 792 | 1.0% |
| a | 792 | 1.0% |
| Other values (3) | 2010 | 2.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 82033 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 20454 | |
| e | 14641 | |
| t | 13636 | |
| i | 7610 | 9.3% |
| s | 7457 | 9.1% |
| o | 6818 | 8.3% |
| x | 6818 | 8.3% |
| u | 1005 | 1.2% |
| f | 792 | 1.0% |
| a | 792 | 1.0% |
| Other values (3) | 2010 | 2.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 82033 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 20454 | |
| e | 14641 | |
| t | 13636 | |
| i | 7610 | 9.3% |
| s | 7457 | 9.1% |
| o | 6818 | 8.3% |
| x | 6818 | 8.3% |
| u | 1005 | 1.2% |
| f | 792 | 1.0% |
| a | 792 | 1.0% |
| Other values (3) | 2010 | 2.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 82033 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 20454 | |
| e | 14641 | |
| t | 13636 | |
| i | 7610 | 9.3% |
| s | 7457 | 9.1% |
| o | 6818 | 8.3% |
| x | 6818 | 8.3% |
| u | 1005 | 1.2% |
| f | 792 | 1.0% |
| a | 792 | 1.0% |
| Other values (3) | 2010 | 2.5% |
emp.var.rate
Real number (ℝ)
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.082704845 |
| Minimum | -3.4 |
|---|---|
| Maximum | 1.4 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 3297 |
| Negative (%) | 42.1% |
| Memory size | 380.3 KiB |
Quantile statistics
| Minimum | -3.4 |
|---|---|
| 5-th percentile | -2.9 |
| Q1 | -1.8 |
| median | 1.1 |
| Q3 | 1.4 |
| 95-th percentile | 1.4 |
| Maximum | 1.4 |
| Range | 4.8 |
| Interquartile range (IQR) | 3.2 |
Descriptive statistics
| Standard deviation | 1.5512184 |
|---|---|
| Coefficient of variation (CV) | 18.756076 |
| Kurtosis | -1.1034964 |
| Mean | 0.082704845 |
| Median Absolute Deviation (MAD) | 0.3 |
| Skewness | -0.70022828 |
| Sum | 647 |
| Variance | 2.4062784 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1.4 | 3010 | |
| -1.8 | 1847 | |
| 1.1 | 1516 | |
| -0.1 | 725 | 9.3% |
| -2.9 | 291 | 3.7% |
| -3.4 | 173 | 2.2% |
| -1.7 | 129 | 1.6% |
| -1.1 | 109 | 1.4% |
| -3 | 22 | 0.3% |
| -0.2 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| -3.4 | 173 | 2.2% |
| -3 | 22 | 0.3% |
| -2.9 | 291 | 3.7% |
| -1.8 | 1847 | |
| -1.7 | 129 | 1.6% |
| -1.1 | 109 | 1.4% |
| -0.2 | 1 | < 0.1% |
| -0.1 | 725 | 9.3% |
| 1.1 | 1516 | |
| 1.4 | 3010 |
| Value | Count | Frequency (%) |
| 1.4 | 3010 | |
| 1.1 | 1516 | |
| -0.1 | 725 | 9.3% |
| -0.2 | 1 | < 0.1% |
| -1.1 | 109 | 1.4% |
| -1.7 | 129 | 1.6% |
| -1.8 | 1847 | |
| -2.9 | 291 | 3.7% |
| -3 | 22 | 0.3% |
| -3.4 | 173 | 2.2% |
cons.price.idx
Real number (ℝ)
| Distinct | 26 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 93.567327 |
| Minimum | 92.201 |
|---|---|
| Maximum | 94.767 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 380.3 KiB |
Quantile statistics
| Minimum | 92.201 |
|---|---|
| 5-th percentile | 92.843 |
| Q1 | 93.075 |
| median | 93.444 |
| Q3 | 93.994 |
| 95-th percentile | 94.465 |
| Maximum | 94.767 |
| Range | 2.566 |
| Interquartile range (IQR) | 0.919 |
Descriptive statistics
| Standard deviation | 0.57218168 |
|---|---|
| Coefficient of variation (CV) | 0.0061151868 |
| Kurtosis | -0.8832206 |
| Mean | 93.567327 |
| Median Absolute Deviation (MAD) | 0.55 |
| Skewness | -0.16832232 |
| Sum | 731977.2 |
| Variance | 0.32739188 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| 93.994 | 1516 | |
| 92.893 | 1197 | |
| 93.918 | 1184 | |
| 93.444 | 1008 | |
| 94.465 | 818 | |
| 93.2 | 706 | |
| 93.075 | 500 | 6.4% |
| 92.963 | 135 | 1.7% |
| 92.201 | 124 | 1.6% |
| 92.431 | 85 | 1.1% |
| Other values (16) | 550 | 7.0% |
| Value | Count | Frequency (%) |
| 92.201 | 124 | 1.6% |
| 92.379 | 42 | 0.5% |
| 92.431 | 85 | 1.1% |
| 92.469 | 32 | 0.4% |
| 92.649 | 46 | 0.6% |
| 92.713 | 22 | 0.3% |
| 92.756 | 1 | < 0.1% |
| 92.843 | 52 | 0.7% |
| 92.893 | 1197 | |
| 92.963 | 135 | 1.7% |
| Value | Count | Frequency (%) |
| 94.767 | 23 | 0.3% |
| 94.601 | 29 | 0.4% |
| 94.465 | 818 | |
| 94.215 | 55 | 0.7% |
| 94.199 | 57 | 0.7% |
| 94.055 | 39 | 0.5% |
| 94.027 | 35 | 0.4% |
| 93.994 | 1516 | |
| 93.918 | 1184 | |
| 93.876 | 27 | 0.3% |
cons.conf.idx
Real number (ℝ)
| Distinct | 26 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -40.618561 |
| Minimum | -50.8 |
|---|---|
| Maximum | -26.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 7823 |
| Negative (%) | 100.0% |
| Memory size | 380.3 KiB |
Quantile statistics
| Minimum | -50.8 |
|---|---|
| 5-th percentile | -47.1 |
| Q1 | -42.7 |
| median | -41.8 |
| Q3 | -36.4 |
| 95-th percentile | -34.8 |
| Maximum | -26.9 |
| Range | 23.9 |
| Interquartile range (IQR) | 6.3 |
Descriptive statistics
| Standard deviation | 4.5983809 |
|---|---|
| Coefficient of variation (CV) | -0.11320886 |
| Kurtosis | -0.39993174 |
| Mean | -40.618561 |
| Median Absolute Deviation (MAD) | 4.4 |
| Skewness | 0.29171563 |
| Sum | -317759 |
| Variance | 21.145107 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| -36.4 | 1516 | |
| -46.2 | 1197 | |
| -42.7 | 1184 | |
| -36.1 | 1008 | |
| -41.8 | 818 | |
| -42 | 706 | |
| -47.1 | 500 | 6.4% |
| -40.8 | 135 | 1.7% |
| -31.4 | 124 | 1.6% |
| -26.9 | 85 | 1.1% |
| Other values (16) | 550 | 7.0% |
| Value | Count | Frequency (%) |
| -50.8 | 23 | 0.3% |
| -50 | 52 | 0.7% |
| -49.5 | 29 | 0.4% |
| -47.1 | 500 | |
| -46.2 | 1197 | |
| -45.9 | 1 | < 0.1% |
| -42.7 | 1184 | |
| -42 | 706 | |
| -41.8 | 818 | |
| -40.8 | 135 | 1.7% |
| Value | Count | Frequency (%) |
| -26.9 | 85 | 1.1% |
| -29.8 | 42 | 0.5% |
| -30.1 | 46 | 0.6% |
| -31.4 | 124 | 1.6% |
| -33 | 22 | 0.3% |
| -33.6 | 32 | 0.4% |
| -34.6 | 26 | 0.3% |
| -34.8 | 45 | 0.6% |
| -36.1 | 1008 | |
| -36.4 | 1516 |
euribor3m
Real number (ℝ)
| Distinct | 274 |
|---|---|
| Distinct (%) | 3.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.6242086 |
| Minimum | 0.634 |
|---|---|
| Maximum | 5.045 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 380.3 KiB |
Quantile statistics
| Minimum | 0.634 |
|---|---|
| 5-th percentile | 0.8513 |
| Q1 | 1.344 |
| median | 4.857 |
| Q3 | 4.961 |
| 95-th percentile | 4.966 |
| Maximum | 5.045 |
| Range | 4.411 |
| Interquartile range (IQR) | 3.617 |
Descriptive statistics
| Standard deviation | 1.7219328 |
|---|---|
| Coefficient of variation (CV) | 0.47511967 |
| Kurtosis | -1.4183074 |
| Mean | 3.6242086 |
| Median Absolute Deviation (MAD) | 0.108 |
| Skewness | -0.70184481 |
| Sum | 28352.184 |
| Variance | 2.9650526 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4.857 | 590 | 7.5% |
| 4.963 | 467 | 6.0% |
| 4.962 | 454 | 5.8% |
| 4.961 | 363 | 4.6% |
| 4.964 | 231 | 3.0% |
| 4.856 | 219 | 2.8% |
| 1.405 | 219 | 2.8% |
| 4.864 | 203 | 2.6% |
| 4.96 | 195 | 2.5% |
| 4.965 | 188 | 2.4% |
| Other values (264) | 4694 |
| Value | Count | Frequency (%) |
| 0.634 | 2 | < 0.1% |
| 0.635 | 8 | |
| 0.636 | 5 | |
| 0.637 | 3 | < 0.1% |
| 0.638 | 3 | < 0.1% |
| 0.639 | 2 | < 0.1% |
| 0.64 | 2 | < 0.1% |
| 0.642 | 7 | |
| 0.643 | 1 | < 0.1% |
| 0.644 | 3 | < 0.1% |
| Value | Count | Frequency (%) |
| 5.045 | 4 | 0.1% |
| 5 | 2 | < 0.1% |
| 4.97 | 43 | 0.5% |
| 4.968 | 184 | 2.4% |
| 4.967 | 126 | 1.6% |
| 4.966 | 131 | 1.7% |
| 4.965 | 188 | |
| 4.964 | 231 | |
| 4.963 | 467 | |
| 4.962 | 454 |
nr.employed
Real number (ℝ)
| Distinct | 11 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5167.853 |
| Minimum | 4963.6 |
|---|---|
| Maximum | 5228.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 380.3 KiB |
Quantile statistics
| Minimum | 4963.6 |
|---|---|
| 5-th percentile | 5017.5 |
| Q1 | 5099.1 |
| median | 5191 |
| Q3 | 5228.1 |
| 95-th percentile | 5228.1 |
| Maximum | 5228.1 |
| Range | 264.5 |
| Interquartile range (IQR) | 129 |
Descriptive statistics
| Standard deviation | 70.086254 |
|---|---|
| Coefficient of variation (CV) | 0.013561967 |
| Kurtosis | 0.048818915 |
| Mean | 5167.853 |
| Median Absolute Deviation (MAD) | 37.1 |
| Skewness | -1.034103 |
| Sum | 40428114 |
| Variance | 4912.083 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 5228.1 | 3010 | |
| 5099.1 | 1749 | |
| 5191 | 1516 | |
| 5195.8 | 725 | 9.3% |
| 5076.2 | 291 | 3.7% |
| 5017.5 | 173 | 2.2% |
| 4991.6 | 129 | 1.6% |
| 4963.6 | 109 | 1.4% |
| 5008.7 | 98 | 1.3% |
| 5023.5 | 22 | 0.3% |
| Value | Count | Frequency (%) |
| 4963.6 | 109 | 1.4% |
| 4991.6 | 129 | 1.6% |
| 5008.7 | 98 | 1.3% |
| 5017.5 | 173 | 2.2% |
| 5023.5 | 22 | 0.3% |
| 5076.2 | 291 | 3.7% |
| 5099.1 | 1749 | |
| 5176.3 | 1 | < 0.1% |
| 5191 | 1516 | |
| 5195.8 | 725 |
| Value | Count | Frequency (%) |
| 5228.1 | 3010 | |
| 5195.8 | 725 | 9.3% |
| 5191 | 1516 | |
| 5176.3 | 1 | < 0.1% |
| 5099.1 | 1749 | |
| 5076.2 | 291 | 3.7% |
| 5023.5 | 22 | 0.3% |
| 5017.5 | 173 | 2.2% |
| 5008.7 | 98 | 1.3% |
| 4991.6 | 129 | 1.6% |
pmonths
Real number (ℝ)
| Distinct | 20 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 970.01799 |
| Minimum | 0 |
|---|---|
| Maximum | 999 |
| Zeros | 2 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 380.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 999 |
| Q1 | 999 |
| median | 999 |
| Q3 | 999 |
| 95-th percentile | 999 |
| Maximum | 999 |
| Range | 999 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 167.66248 |
|---|---|
| Coefficient of variation (CV) | 0.17284471 |
| Kurtosis | 29.512067 |
| Mean | 970.01799 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -5.6128889 |
| Sum | 7588450.7 |
| Variance | 28110.707 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 999 | 7596 | |
| 0.2 | 62 | 0.8% |
| 0.1 | 56 | 0.7% |
| 0.1333333333 | 20 | 0.3% |
| 0.2333333333 | 12 | 0.2% |
| 0.3 | 11 | 0.1% |
| 0.06666666667 | 11 | 0.1% |
| 0.4 | 10 | 0.1% |
| 0.1666666667 | 7 | 0.1% |
| 0.3333333333 | 7 | 0.1% |
| Other values (10) | 31 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 2 | < 0.1% |
| 0.03333333333 | 4 | 0.1% |
| 0.06666666667 | 11 | 0.1% |
| 0.1 | 56 | |
| 0.1333333333 | 20 | 0.3% |
| 0.1666666667 | 7 | 0.1% |
| 0.2 | 62 | |
| 0.2333333333 | 12 | 0.2% |
| 0.2666666667 | 3 | < 0.1% |
| 0.3 | 11 | 0.1% |
| Value | Count | Frequency (%) |
| 999 | 7596 | |
| 0.7333333333 | 1 | < 0.1% |
| 0.5666666667 | 2 | < 0.1% |
| 0.5333333333 | 4 | 0.1% |
| 0.5 | 5 | 0.1% |
| 0.4666666667 | 4 | 0.1% |
| 0.4333333333 | 3 | < 0.1% |
| 0.4 | 10 | 0.1% |
| 0.3666666667 | 3 | < 0.1% |
| 0.3333333333 | 7 | 0.1% |
pastEmail
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 380.3 KiB |
| 0 | |
|---|---|
| 2 | 311 |
| 1 | 248 |
| 3 | 176 |
| 4 | 119 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 7823 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 6969 | |
| 2 | 311 | 4.0% |
| 1 | 248 | 3.2% |
| 3 | 176 | 2.2% |
| 4 | 119 | 1.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 6969 | |
| 2 | 311 | 4.0% |
| 1 | 248 | 3.2% |
| 3 | 176 | 2.2% |
| 4 | 119 | 1.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 6969 | |
| 2 | 311 | 4.0% |
| 1 | 248 | 3.2% |
| 3 | 176 | 2.2% |
| 4 | 119 | 1.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 7823 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 6969 | |
| 2 | 311 | 4.0% |
| 1 | 248 | 3.2% |
| 3 | 176 | 2.2% |
| 4 | 119 | 1.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 7823 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 6969 | |
| 2 | 311 | 4.0% |
| 1 | 248 | 3.2% |
| 3 | 176 | 2.2% |
| 4 | 119 | 1.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 7823 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 6969 | |
| 2 | 311 | 4.0% |
| 1 | 248 | 3.2% |
| 3 | 176 | 2.2% |
| 4 | 119 | 1.5% |
responded
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 326.8 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 6989 | |
| True | 834 | 10.7% |
| custAge | campaign | pdays | emp.var.rate | cons.price.idx | cons.conf.idx | euribor3m | nr.employed | pmonths | profession | marital | schooling | default | housing | loan | contact | month | day_of_week | previous | poutcome | pastEmail | responded | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| custAge | 1.000 | 0.006 | 0.014 | 0.057 | 0.049 | 0.093 | 0.069 | 0.057 | 0.014 | 0.160 | 0.198 | 0.065 | 0.113 | 0.000 | 0.012 | 0.080 | 0.073 | 0.020 | 0.057 | 0.087 | 0.041 | 0.162 |
| campaign | 0.006 | 1.000 | 0.034 | 0.125 | 0.081 | -0.006 | 0.103 | 0.114 | 0.034 | 0.009 | 0.018 | 0.000 | 0.000 | 0.000 | 0.003 | 0.064 | 0.046 | 0.038 | 0.027 | 0.048 | 0.021 | 0.055 |
| pdays | 0.014 | 0.034 | 1.000 | 0.208 | 0.083 | -0.067 | 0.247 | 0.253 | 1.000 | 0.113 | 0.047 | 0.018 | 0.069 | 0.020 | 0.020 | 0.104 | 0.247 | 0.033 | 0.526 | 0.968 | 0.407 | 0.307 |
| emp.var.rate | 0.057 | 0.125 | 0.208 | 1.000 | 0.680 | 0.298 | 0.941 | 0.945 | 0.208 | 0.114 | 0.063 | 0.046 | 0.145 | 0.038 | 0.004 | 0.460 | 0.666 | 0.025 | 0.266 | 0.361 | 0.215 | 0.330 |
| cons.price.idx | 0.049 | 0.081 | 0.083 | 0.680 | 1.000 | 0.306 | 0.516 | 0.487 | 0.083 | 0.119 | 0.069 | 0.065 | 0.142 | 0.067 | 0.019 | 0.680 | 0.675 | 0.042 | 0.273 | 0.366 | 0.212 | 0.303 |
| cons.conf.idx | 0.093 | -0.006 | -0.067 | 0.298 | 0.306 | 1.000 | 0.309 | 0.200 | -0.067 | 0.095 | 0.064 | 0.043 | 0.124 | 0.034 | 0.013 | 0.418 | 0.598 | 0.033 | 0.248 | 0.339 | 0.195 | 0.355 |
| euribor3m | 0.069 | 0.103 | 0.247 | 0.941 | 0.516 | 0.309 | 1.000 | 0.927 | 0.247 | 0.125 | 0.064 | 0.049 | 0.148 | 0.037 | 0.008 | 0.470 | 0.654 | 0.127 | 0.267 | 0.393 | 0.221 | 0.373 |
| nr.employed | 0.057 | 0.114 | 0.253 | 0.945 | 0.487 | 0.200 | 0.927 | 1.000 | 0.253 | 0.112 | 0.065 | 0.049 | 0.127 | 0.021 | 0.007 | 0.506 | 0.607 | 0.037 | 0.275 | 0.375 | 0.206 | 0.384 |
| pmonths | 0.014 | 0.034 | 1.000 | 0.208 | 0.083 | -0.067 | 0.247 | 0.253 | 1.000 | 0.113 | 0.047 | 0.018 | 0.069 | 0.020 | 0.020 | 0.104 | 0.247 | 0.033 | 0.526 | 0.968 | 0.407 | 0.307 |
| profession | 0.160 | 0.009 | 0.113 | 0.114 | 0.119 | 0.095 | 0.125 | 0.112 | 0.113 | 1.000 | 0.179 | 0.257 | 0.144 | 0.000 | 0.012 | 0.120 | 0.103 | 0.022 | 0.056 | 0.091 | 0.042 | 0.132 |
| marital | 0.198 | 0.018 | 0.047 | 0.063 | 0.069 | 0.064 | 0.064 | 0.065 | 0.047 | 0.179 | 1.000 | 0.080 | 0.090 | 0.017 | 0.015 | 0.050 | 0.045 | 0.008 | 0.011 | 0.034 | 0.005 | 0.058 |
| schooling | 0.065 | 0.000 | 0.018 | 0.046 | 0.065 | 0.043 | 0.049 | 0.049 | 0.018 | 0.257 | 0.080 | 1.000 | 0.106 | 0.000 | 0.000 | 0.089 | 0.066 | 0.024 | 0.019 | 0.026 | 0.035 | 0.067 |
| default | 0.113 | 0.000 | 0.069 | 0.145 | 0.142 | 0.124 | 0.148 | 0.127 | 0.069 | 0.144 | 0.090 | 0.106 | 1.000 | 0.006 | 0.000 | 0.122 | 0.103 | 0.000 | 0.067 | 0.072 | 0.055 | 0.089 |
| housing | 0.000 | 0.000 | 0.020 | 0.038 | 0.067 | 0.034 | 0.037 | 0.021 | 0.020 | 0.000 | 0.017 | 0.000 | 0.006 | 1.000 | 0.708 | 0.072 | 0.053 | 0.021 | 0.009 | 0.014 | 0.011 | 0.000 |
| loan | 0.012 | 0.003 | 0.020 | 0.004 | 0.019 | 0.013 | 0.008 | 0.007 | 0.020 | 0.012 | 0.015 | 0.000 | 0.000 | 0.708 | 1.000 | 0.000 | 0.018 | 0.019 | 0.005 | 0.009 | 0.012 | 0.006 |
| contact | 0.080 | 0.064 | 0.104 | 0.460 | 0.680 | 0.418 | 0.470 | 0.506 | 0.104 | 0.120 | 0.050 | 0.089 | 0.122 | 0.072 | 0.000 | 1.000 | 0.605 | 0.039 | 0.226 | 0.226 | 0.208 | 0.140 |
| month | 0.073 | 0.046 | 0.247 | 0.666 | 0.675 | 0.598 | 0.654 | 0.607 | 0.247 | 0.103 | 0.045 | 0.066 | 0.103 | 0.053 | 0.018 | 0.605 | 1.000 | 0.063 | 0.153 | 0.238 | 0.126 | 0.287 |
| day_of_week | 0.020 | 0.038 | 0.033 | 0.025 | 0.042 | 0.033 | 0.127 | 0.037 | 0.033 | 0.022 | 0.008 | 0.024 | 0.000 | 0.021 | 0.019 | 0.039 | 0.063 | 1.000 | 0.007 | 0.021 | 0.000 | 0.024 |
| previous | 0.057 | 0.027 | 0.526 | 0.266 | 0.273 | 0.248 | 0.267 | 0.275 | 0.526 | 0.056 | 0.011 | 0.019 | 0.067 | 0.009 | 0.005 | 0.226 | 0.153 | 0.007 | 1.000 | 0.722 | 0.498 | 0.189 |
| poutcome | 0.087 | 0.048 | 0.968 | 0.361 | 0.366 | 0.339 | 0.393 | 0.375 | 0.968 | 0.091 | 0.034 | 0.026 | 0.072 | 0.014 | 0.009 | 0.226 | 0.238 | 0.021 | 0.722 | 1.000 | 0.646 | 0.302 |
| pastEmail | 0.041 | 0.021 | 0.407 | 0.215 | 0.212 | 0.195 | 0.221 | 0.206 | 0.407 | 0.042 | 0.005 | 0.035 | 0.055 | 0.011 | 0.012 | 0.208 | 0.126 | 0.000 | 0.498 | 0.646 | 1.000 | 0.129 |
| responded | 0.162 | 0.055 | 0.307 | 0.330 | 0.303 | 0.355 | 0.373 | 0.384 | 0.307 | 0.132 | 0.058 | 0.067 | 0.089 | 0.000 | 0.006 | 0.140 | 0.287 | 0.024 | 0.189 | 0.302 | 0.129 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| custAge | profession | marital | schooling | default | housing | loan | contact | month | day_of_week | campaign | pdays | previous | poutcome | emp.var.rate | cons.price.idx | cons.conf.idx | euribor3m | nr.employed | pmonths | pastEmail | responded | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 34.0 | admin. | single | university.degree | no | no | yes | cellular | apr | wed | 2 | 999 | 0 | nonexistent | -1.8 | 93.075 | -47.1 | 1.498 | 5099.1 | 999.0 | 0 | no |
| 2 | 31.0 | admin. | single | high.school | no | no | no | telephone | jun | thu | 1 | 999 | 0 | nonexistent | 1.4 | 94.465 | -41.8 | 4.961 | 5228.1 | 999.0 | 0 | no |
| 3 | 52.0 | admin. | divorced | university.degree | unknown | yes | no | cellular | jul | tue | 2 | 999 | 0 | nonexistent | 1.4 | 93.918 | -42.7 | 4.962 | 5228.1 | 999.0 | 0 | no |
| 4 | 39.0 | blue-collar | single | university.degree | unknown | yes | no | cellular | jul | tue | 6 | 999 | 0 | nonexistent | 1.4 | 93.918 | -42.7 | 4.961 | 5228.1 | 999.0 | 0 | no |
| 5 | 40.0 | entrepreneur | married | university.degree | no | yes | no | telephone | jun | thu | 3 | 999 | 0 | nonexistent | 1.4 | 94.465 | -41.8 | 4.866 | 5228.1 | 999.0 | 0 | no |
| 6 | 50.0 | technician | single | university.degree | no | no | no | cellular | jul | tue | 3 | 999 | 0 | nonexistent | 1.4 | 93.918 | -42.7 | 4.961 | 5228.1 | 999.0 | 0 | no |
| 7 | 41.0 | technician | married | professional.course | no | no | no | cellular | oct | thu | 2 | 999 | 0 | nonexistent | -3.4 | 92.431 | -26.9 | 0.741 | 5017.5 | 999.0 | 0 | no |
| 8 | 23.0 | blue-collar | single | basic.4y | no | yes | no | telephone | jun | fri | 10 | 999 | 0 | nonexistent | 1.4 | 94.465 | -41.8 | 4.959 | 5228.1 | 999.0 | 0 | no |
| 9 | 29.0 | technician | married | professional.course | no | yes | no | cellular | aug | mon | 3 | 999 | 0 | nonexistent | 1.4 | 93.444 | -36.1 | 4.965 | 5228.1 | 999.0 | 0 | no |
| 10 | 57.0 | retired | married | professional.course | unknown | no | no | telephone | jun | mon | 2 | 999 | 0 | nonexistent | 1.4 | 94.465 | -41.8 | 4.961 | 5228.1 | 999.0 | 0 | no |
| custAge | profession | marital | schooling | default | housing | loan | contact | month | day_of_week | campaign | pdays | previous | poutcome | emp.var.rate | cons.price.idx | cons.conf.idx | euribor3m | nr.employed | pmonths | pastEmail | responded | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8225 | 30.0 | student | single | basic.9y | no | no | yes | telephone | mar | tue | 1 | 3 | 2 | success | -1.8 | 93.369 | -34.8 | 0.637 | 5008.7 | 0.100000 | 2 | yes |
| 8226 | 30.0 | technician | married | professional.course | no | yes | no | cellular | oct | tue | 1 | 999 | 0 | nonexistent | -3.4 | 92.431 | -26.9 | 0.737 | 5017.5 | 999.000000 | 0 | yes |
| 8227 | 45.0 | blue-collar | married | professional.course | no | no | no | cellular | aug | fri | 2 | 999 | 0 | nonexistent | 1.4 | 93.444 | -36.1 | 4.966 | 5228.1 | 999.000000 | 0 | yes |
| 8228 | 39.0 | admin. | married | basic.6y | unknown | no | no | cellular | jul | wed | 1 | 999 | 0 | nonexistent | 1.4 | 93.918 | -42.7 | 4.963 | 5228.1 | 999.000000 | 0 | yes |
| 8230 | 28.0 | admin. | married | university.degree | no | no | no | cellular | apr | thu | 1 | 2 | 2 | success | -1.8 | 93.075 | -47.1 | 1.365 | 5099.1 | 0.066667 | 0 | yes |
| 8231 | 34.0 | admin. | single | university.degree | no | yes | no | cellular | aug | wed | 1 | 999 | 0 | nonexistent | 1.4 | 93.444 | -36.1 | 4.965 | 5228.1 | 999.000000 | 0 | yes |
| 8232 | 52.0 | services | married | high.school | unknown | yes | no | cellular | jul | fri | 3 | 999 | 0 | nonexistent | 1.4 | 93.918 | -42.7 | 4.962 | 5228.1 | 999.000000 | 0 | yes |
| 8233 | 55.0 | retired | married | high.school | no | yes | no | cellular | oct | thu | 2 | 7 | 1 | success | -3.4 | 92.431 | -26.9 | 0.722 | 5017.5 | 0.233333 | 0 | yes |
| 8235 | 32.0 | self-employed | single | university.degree | no | no | no | cellular | apr | thu | 1 | 999 | 0 | nonexistent | -1.8 | 93.075 | -47.1 | 1.435 | 5099.1 | 999.000000 | 0 | yes |
| 8236 | 32.0 | housemaid | married | university.degree | no | no | no | cellular | jun | tue | 1 | 999 | 0 | nonexistent | -2.9 | 92.963 | -40.8 | 1.099 | 5076.2 | 999.000000 | 0 | yes |
Most frequently occurring
| custAge | profession | marital | schooling | default | housing | loan | contact | month | day_of_week | campaign | pdays | previous | poutcome | emp.var.rate | cons.price.idx | cons.conf.idx | euribor3m | nr.employed | pmonths | pastEmail | responded | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 25.0 | admin. | single | basic.9y | no | no | no | cellular | jul | mon | 2 | 999 | 0 | nonexistent | 1.4 | 93.918 | -42.7 | 4.960 | 5228.1 | 999.0 | 0 | no | 2 |
| 1 | 27.0 | admin. | single | high.school | no | no | no | cellular | jul | tue | 1 | 999 | 0 | nonexistent | 1.4 | 93.918 | -42.7 | 4.962 | 5228.1 | 999.0 | 0 | no | 2 |
| 2 | 28.0 | blue-collar | married | high.school | unknown | no | no | cellular | jul | tue | 1 | 999 | 0 | nonexistent | 1.4 | 93.918 | -42.7 | 4.962 | 5228.1 | 999.0 | 0 | no | 2 |
| 3 | 31.0 | blue-collar | single | basic.9y | no | yes | no | telephone | may | tue | 1 | 999 | 0 | nonexistent | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 999.0 | 0 | no | 2 |
| 4 | 31.0 | management | single | university.degree | no | yes | no | cellular | nov | thu | 1 | 999 | 0 | nonexistent | -0.1 | 93.200 | -42.0 | 4.076 | 5195.8 | 999.0 | 0 | no | 2 |
| 5 | 33.0 | blue-collar | married | basic.9y | no | yes | no | telephone | may | wed | 1 | 999 | 0 | nonexistent | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 999.0 | 0 | no | 2 |
| 6 | 34.0 | admin. | single | university.degree | no | no | no | cellular | jul | tue | 1 | 999 | 0 | nonexistent | 1.4 | 93.918 | -42.7 | 4.961 | 5228.1 | 999.0 | 0 | no | 2 |
| 7 | 34.0 | blue-collar | married | basic.9y | unknown | yes | no | telephone | jun | mon | 1 | 999 | 0 | nonexistent | 1.4 | 94.465 | -41.8 | 4.865 | 5228.1 | 999.0 | 0 | no | 2 |
| 8 | 40.0 | technician | single | professional.course | no | yes | no | cellular | aug | wed | 1 | 999 | 0 | nonexistent | 1.4 | 93.444 | -36.1 | 4.964 | 5228.1 | 999.0 | 0 | no | 2 |
| 9 | 50.0 | self-employed | married | university.degree | no | yes | no | cellular | aug | tue | 1 | 999 | 0 | nonexistent | 1.4 | 93.444 | -36.1 | 4.966 | 5228.1 | 999.0 | 0 | no | 2 |